Submission¶

Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace

In [117]:
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px

init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
In [118]:
#load data
df = px.data.gapminder()
df.head()
Out[118]:
country continent year lifeExp pop gdpPercap iso_alpha iso_num
0 Afghanistan Asia 1952 28.801 8425333 779.445314 AFG 4
1 Afghanistan Asia 1957 30.332 9240934 820.853030 AFG 4
2 Afghanistan Asia 1962 31.997 10267083 853.100710 AFG 4
3 Afghanistan Asia 1967 34.020 11537966 836.197138 AFG 4
4 Afghanistan Asia 1972 36.088 13079460 739.981106 AFG 4

Question 1:¶

Recreate the barplot below that shows the population of different continents for the year 2007.

Hints:

  • Extract the 2007 year data from the dataframe. You have to process the data accordingly
  • use plotly bar
  • Add different colors for different continents
  • Sort the order of the continent for the visualisation. Use axis layout setting
  • Add text to each bar that represents the population
In [119]:
df_2007=df.query("year==2007").groupby('continent').sum()
fig = px.bar(df_2007, x='pop', y=df_2007.index, color=df_2007.index)
fig.update_layout(showlegend=False)
fig.show()

Question 2:¶

Sort the order of the continent for the visualisation

Hint: Use axis layout setting

In [120]:
fig.update_yaxes(categoryorder='sum ascending')
fig.show()

Question 3:¶

Add text to each bar that represents the population

In [121]:
fig = px.bar(df_2007, x='pop', y=df_2007.index, color=df_2007.index, text_auto='.2s')
fig.update_layout(showlegend=False)
fig.update_yaxes(categoryorder='sum ascending')
fig.update_traces(textposition='outside')
fig.show()

Question 4:¶

Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years

In [122]:
fig = px.bar(df, x='pop', y='continent', color='continent', animation_frame='year',
             range_x=(0,4000000000))
fig.update_layout(showlegend=False)
fig.update_yaxes(categoryorder='sum ascending')
fig.show()

Question 5:¶

Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years

In [142]:
fig = px.bar(df, x='pop', y='country', color='country', animation_frame='year', animation_group='country',
             range_x=(0,1400000000))
fig.update_layout(showlegend=False)
fig.update_yaxes(categoryorder='sum ascending')
fig.show()

Question 6:¶

Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation

In [143]:
fig.update_layout(
    autosize=False,
    width=1000,
    height=1000)
fig.show()

Question 7:¶

Show only the top 10 countries in the animation

Hint: Use the axis limit to set this.

In [144]:
fig.update_yaxes(range=(132,142))
fig.update_layout(height=500)
fig.show()
In [101]:
df_group=df.groupby('country')
df_group.count()
Out[101]:
continent year lifeExp pop gdpPercap iso_alpha iso_num
country
Afghanistan 12 12 12 12 12 12 12
Albania 12 12 12 12 12 12 12
Algeria 12 12 12 12 12 12 12
Angola 12 12 12 12 12 12 12
Argentina 12 12 12 12 12 12 12
... ... ... ... ... ... ... ...
Vietnam 12 12 12 12 12 12 12
West Bank and Gaza 12 12 12 12 12 12 12
Yemen, Rep. 12 12 12 12 12 12 12
Zambia 12 12 12 12 12 12 12
Zimbabwe 12 12 12 12 12 12 12

142 rows × 7 columns

In [ ]: